Remaining Useful Life (RUL) Prediction of Equipment in Production …
We propose and validate a new machine learning-based model in predicting the failure of equipment (i.e., RUL prediction) in production lines and analyze the applicability of machine learning algorithms in predicting the failure of equipment in product lines.
Machine learning and IoT – Based predictive ... - ScienceDirect
Feb 1, 2024 · In this study, a predictive maintenance system based on machine learning algorithms, specifically AdaBoost, is presented to classify different types of machines stops in real-time with application in knitting machines.
The research paper provides a method for predictive maintenance in semiconductor equipments, comprising the following steps: collecting and preprocessing the raw data,
Paradigm shift for predictive maintenance and condition …
Dec 1, 2024 · Predictive Maintenance (PdM), a smart maintenance technique, utilises data analysis and monitoring techniques to predict equipment failure, enabling maintenance activities to be performed just in time to prevent failure.
Predictive Maintenance Model for Industrial Equipment
May 31, 2024 · In this research paper, the authors collected real-time data from coal equipment, including temperature, vibration, and pressure, and used it to build a predictive maintenance model using machine learning algorithms like decision tree and random forest.
Draw lessons from international and national standards and apply semantic analysis technology to establish a complete equipment data dictionary database of factory equipment and unify the basic...
AI for Predictive Maintenance in Industrial Systems - ResearchGate
Nov 18, 2023 · Predictive Maintenance, as the central focus of this paper, leverages the capabilities of AI to analyze vast streams of data generated by sensors and equipment. This analysis allows for precise...
Design and Implementation of Equipment Maintenance Predictive Model ...
Dec 1, 2018 · This paper takes the service life of equipment as the research object, applies machine learning theory, builds the equipment maintenance prediction model based on random forest regression on the basis of analysis and comparison, and gives the typical technology implementation and verification of the model, which has good adaptability and ...
Predictive Maintenance using Machine Learning: A Case Study in ...
Through the implementation of various algorithms such as random forests, gradient boosting, and deep learning, we show that machine learning can provide significant improvements in the accuracy of predicting equipment failures.
Advanced ML for predictive maintenance: a case study on …
Mar 11, 2024 · Machine learning (ML) techniques are increasingly being used in the field of predictive maintenance to predict failures and calculate estimated remaining useful life (RUL) of equipment. A case study is proposed in this research paper based on a maintenance dataset from the aerospace industry.